Michael Kleinman

According to our database1, Michael Kleinman authored at least 10 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2021
2022
2023
2024
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1
2
3
4
5
2
1
1
2
3
1

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Towards a theory of learning dynamics in deep state space models.
CoRR, 2024

Voice EHR: Introducing Multimodal Audio Data for Health.
CoRR, 2024

Critical Learning Periods Emerge Even in Deep Linear Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
On the Structure and Learning of Perceptual Representations in Deep Neural Networks
PhD thesis, 2023

Gacs-Korner Common Information Variational Autoencoder.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Critical Learning Periods for Multisensory Integration in Deep Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021
Redundant Information Neural Estimation.
Entropy, 2021

Learning rule influences recurrent network representations but not attractor structure in decision-making tasks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A mechanistic multi-area recurrent network model of decision-making.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Usable Information and Evolution of Optimal Representations During Training.
Proceedings of the 9th International Conference on Learning Representations, 2021


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